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Wang Y, Tang CY, Wan XF. Antigenic characterization of influenza and SARS-CoV-2 viruses. Anal Bioanal Chem 2022; 414:2841-2881. [PMID: 34905077 PMCID: PMC8669429 DOI: 10.1007/s00216-021-03806-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/21/2021] [Accepted: 11/24/2021] [Indexed: 12/24/2022]
Abstract
Antigenic characterization of emerging and re-emerging viruses is necessary for the prevention of and response to outbreaks, evaluation of infection mechanisms, understanding of virus evolution, and selection of strains for vaccine development. Primary analytic methods, including enzyme-linked immunosorbent/lectin assays, hemagglutination inhibition, neuraminidase inhibition, micro-neutralization assays, and antigenic cartography, have been widely used in the field of influenza research. These techniques have been improved upon over time for increased analytical capacity, and some have been mobilized for the rapid characterization of the SARS-CoV-2 virus as well as its variants, facilitating the development of highly effective vaccines within 1 year of the initially reported outbreak. While great strides have been made for evaluating the antigenic properties of these viruses, multiple challenges prevent efficient vaccine strain selection and accurate assessment. For influenza, these barriers include the requirement for a large virus quantity to perform the assays, more than what can typically be provided by the clinical samples alone, cell- or egg-adapted mutations that can cause antigenic mismatch between the vaccine strain and circulating viruses, and up to a 6-month duration of vaccine development after vaccine strain selection, which allows viruses to continue evolving with potential for antigenic drift and, thus, antigenic mismatch between the vaccine strain and the emerging epidemic strain. SARS-CoV-2 characterization has faced similar challenges with the additional barrier of the need for facilities with high biosafety levels due to its infectious nature. In this study, we review the primary analytic methods used for antigenic characterization of influenza and SARS-CoV-2 and discuss the barriers of these methods and current developments for addressing these challenges.
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Affiliation(s)
- Yang Wang
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Cynthia Y Tang
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Xiu-Feng Wan
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA.
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA.
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA.
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Proximity ligation assay: an ultrasensitive method for protein quantification and its applications in pathogen detection. Appl Microbiol Biotechnol 2021; 105:923-935. [PMID: 33427935 DOI: 10.1007/s00253-020-11049-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/27/2020] [Accepted: 12/09/2020] [Indexed: 01/08/2023]
Abstract
It is of great significance to establish sensitive and accurate pathogen detection methods, considering the continuous emergence or re-emergence of infectious diseases seriously influences the safety of human and animals. Proximity ligation assay (PLA) is developed for the sensitive protein detection and also can be used for the detection of pathogens. PLA employs aptamer or monoclonal/polyclonal antibody-nucleic acid complexes as proximity probes. When the paired proximity probes bind to the same target protein or protein complex, they will be adjacent to each other and form an amplifiable DNA sequence through ligation. Combining the specificity of enzyme-linked immunosorbent assay (ELISA) and sensitivity of polymerase chain reaction (PCR), PLA transforms the detection of protein into the detection of DNA nucleic acid sequence. Therefore, as an ultrasensitive protein assay, PLA has great potential for quantification, localization of protein, and clinical diagnostics. In this review, we summarize the basic principles of PLA and its applications in pathogen detection. KEY POINTS: • Different forms of proximity ligation assay are introduced. • Applications of proximity ligation assay in pathogen detection are summarized. • Proximity ligation assay is an ultrasensitive method to quantify protein and pathogen.
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Detection of Antigenic Variants of Subtype H3 Swine Influenza A Viruses from Clinical Samples. J Clin Microbiol 2017; 55:1037-1045. [PMID: 28077698 DOI: 10.1128/jcm.02049-16] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/06/2017] [Indexed: 11/20/2022] Open
Abstract
A large population of genetically and antigenically diverse influenza A viruses (IAVs) are circulating among the swine population, playing an important role in influenza ecology. Swine IAVs not only cause outbreaks among swine but also can be transmitted to humans, causing sporadic infections and even pandemic outbreaks. Antigenic characterizations of swine IAVs are key to understanding the natural history of these viruses in swine and to selecting strains for effective vaccines. However, influenza outbreaks generally spread rapidly among swine, and the conventional methods for antigenic characterization require virus propagation, a time-consuming process that can significantly reduce the effectiveness of vaccination programs. We developed and validated a rapid, sensitive, and robust method, the polyclonal serum-based proximity ligation assay (polyPLA), to identify antigenic variants of subtype H3N2 swine IAVs. This method utilizes oligonucleotide-conjugated polyclonal antibodies and quantifies antibody-antigen binding affinities by quantitative reverse transcription-PCR (RT-PCR). Results showed the assay can rapidly detect H3N2 IAVs directly from nasal wash or nasal swab samples collected from laboratory-challenged animals or during influenza surveillance at county fairs. In addition, polyPLA can accurately separate the viruses at two contemporary swine IAV antigenic clusters (H3N2 swine IAV-α and H3N2 swine IAV-ß) with a sensitivity of 84.9% and a specificity of 100.0%. The polyPLA can be routinely used in surveillance programs to detect antigenic variants of influenza viruses and to select vaccine strains for use in controlling and preventing disease in swine.
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Li X, Deem MW. Influenza evolution and H3N2 vaccine effectiveness, with application to the 2014/2015 season. Protein Eng Des Sel 2016; 29:309-15. [PMID: 27313229 PMCID: PMC4955871 DOI: 10.1093/protein/gzw017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 04/20/2016] [Accepted: 04/26/2016] [Indexed: 01/14/2023] Open
Abstract
Influenza A is a serious disease that causes significant morbidity and mortality, and vaccines against the seasonal influenza disease are of variable effectiveness. In this article, we discuss the use of the pepitope method to predict the dominant influenza strain and the expected vaccine effectiveness in the coming flu season. We illustrate how the effectiveness of the 2014/2015 A/Texas/50/2012 [clade 3C.1] vaccine against the A/California/02/2014 [clade 3C.3a] strain that emerged in the population can be estimated via pepitope In addition, we show by a multidimensional scaling analysis of data collected through 2014, the emergence of a new A/New Mexico/11/2014-like cluster [clade 3C.2a] that is immunologically distinct from the A/California/02/2014-like strains.
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MESH Headings
- Evolution, Molecular
- Hemagglutinin Glycoproteins, Influenza Virus/chemistry
- Hemagglutinin Glycoproteins, Influenza Virus/metabolism
- Humans
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/metabolism
- Influenza A Virus, H3N2 Subtype/physiology
- Influenza Vaccines/immunology
- Influenza, Human/prevention & control
- Influenza, Human/virology
- Models, Molecular
- Models, Statistical
- Phylogeny
- Protein Conformation
- Seasons
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Affiliation(s)
- Xi Li
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Michael W Deem
- Department of Bioengineering, Rice University, Houston, TX 77005, USA Department of Physics and Astronomy, Rice University, Houston, TX 77005, USA Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
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Xie Q, Zhang J, Shao H, Wan Z, Tian X, Yang J, Pang M, Qian K, Gao W, Wang C, Qin A, Ye J. Development of a novel immuno-PCR for detection of avian leukosis virus. J Virol Methods 2016; 236:25-28. [PMID: 27373601 DOI: 10.1016/j.jviromet.2016.06.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 06/10/2016] [Accepted: 06/26/2016] [Indexed: 11/29/2022]
Abstract
Avian leukosis virus (ALV) is an important pathogen for various neoplasms, including lymphoid, myeloid, and erythroid neoplasms, and it causes significant economic loss in the poultry industry. Several efficient methods for the detection of ALV have been reported. However, these previously developed approaches are based on either PCR or immunoassays. Here, we used a proximity ligation technique and combined PCR with the immunoassay to develop a novel immuno-PCR (Im-PCR) approach for the detection of ALV. Our data showed that the Im-PCR had high specificity and sensitivity to ALV. The Im-PCR method selectively reacted to ALV but not to the other avian viruses tested. The limit of detection of Im-PCR could reach 0.5 TCID50. Moreover, the results of Im-PCR were in agreement with results from commercial ELISA when the clinical cloaca samples were used for ALV detection. The present results demonstrate that the novel Im-PCR method can be efficiently applied to detect ALV in a clinical setting. Our data also highlight that Im-PCR may have promising applications in the diagnosis of pathogens.
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Affiliation(s)
- Quan Xie
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Jianjun Zhang
- Sinopharm Yangzhou VAC Biological Engineering Co., Ltd., Yangzhou, Jiangsu, PR China
| | - Hongxia Shao
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Zhimin Wan
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Xiaoyan Tian
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Jialiang Yang
- Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Mayun Pang
- Institute of Animal Health Inspection in Wujiang, Suzhou, Jiangsu, PR China
| | - Kun Qian
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Wei Gao
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Chengming Wang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China
| | - Aijian Qin
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China.
| | - Jianqiang Ye
- Ministry of Education Key Laboratory for Avian Preventive Medicine, and Key Laboratory of Jiangsu Preventive Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, PR China.
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